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Learner Reviews & Feedback for Exploratory Data Analysis for Machine Learning by IBM

4.6

stars

2,516 ratings

About the Course

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing. By the end of this course you should be able to: Retrieve data from multiple data sources: SQL, NoSQL databases, APIs, Cloud Describe and use common feature selection and feature engineering techniques Handle categorical and ordinal features, as well as missing values Use a variety of techniques for detecting and dealing with outliers Articulate why feature scaling is important and use a variety of scaling techniques Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Calculus, Linear Algebra, Probability, and Statistics....

Top reviews

Nov 5, 2022

Good introduction to the workflow in EDA for ML. I appreciate the code examples that provide a useful reference to code syntax and some practice with EDA.

Jul 18, 2025

More example in simplified way could help new learner to understand. Overall I really like this course. This help us to crack some of good area where I need to re-work .

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351 - 375 of 512 Reviews for Exploratory Data Analysis for Machine Learning

By Sanchi C

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Jun 21, 2025

good

By Neema R

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Jun 9, 2025

good

By Ishan d

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Jun 7, 2025

good

By priyankar n

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Mar 21, 2025

Nice

By Khunakhan A

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Feb 7, 2025

imba

By Anurag T

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Feb 5, 2025

good

By Krishna K K

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Dec 21, 2024

good

By Диас А

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Dec 10, 2024

good

By SOMYA P

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Nov 25, 2024

good

By Gandham H

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Nov 13, 2024

good

By Ayuska S

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Oct 31, 2024

good

By Rudra P J

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Oct 9, 2024

Nice

By Sahil

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Sep 15, 2024

good

By shashank s

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Sep 7, 2024

good

By GUDITI J B

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Feb 29, 2024

Nice

By Chonchal K

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Dec 31, 2023

good

By Shivani S

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Oct 24, 2023

good

By Avijit B

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May 27, 2023

well

By Nurlan I

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Mar 26, 2023

s cd

By NIMALAN P

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Feb 5, 2023

good

By KASIREDDY A

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Nov 17, 2022

GOOD

By Sabina S

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Oct 19, 2021

Good

By Miguel B D S N

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Jan 27, 2021

Nice

By Muhammad H B

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Mar 1, 2025

Gud

By nuriddin z

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Nov 10, 2023

yes